Goal: tweak small things, watch outcomes, and write short notes on what you observe. No extra code required beyond your lab notebook.
- What to change: Set
torch.manual_seed(0)before model init and training. - What to observe: Does the loss trajectory stay the same across reruns?
- Deliverable: One sentence on why fixed seeds matter.